Exponentially tilted likelihood inference on growing dimensional unconditional moment models
From MaRDI portal
Publication:1680189
DOI10.1016/j.jeconom.2017.08.018zbMath1378.62013arXiv1612.08246OpenAlexW2566462634MaRDI QIDQ1680189
Xiaodong Yan, Pu-Ying Zhao, Nian Sheng Tang
Publication date: 23 November 2017
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1612.08246
parameter estimationvariable selectionmodel misspecificationgrowing-dimensional data analysismoment unconditional modelspenalized exponentially tilted likelihood
Nonparametric estimation (62G05) Applications of statistics to social sciences (62P25) Point estimation (62F10)
Related Items (4)
Statistical inference for nonignorable missing-data problems: a selective review ⋮ Exponential tilted likelihood for stationary time series models ⋮ Feature screening in ultrahigh-dimensional partially linear models with missing responses at random ⋮ Testing with exponentially tilted empirical likelihood
Cites Work
- Unnamed Item
- Unnamed Item
- Nearly unbiased variable selection under minimax concave penalty
- A unified approach to model selection and sparse recovery using regularized least squares
- The Adaptive Lasso and Its Oracle Properties
- Exact post-selection inference, with application to the Lasso
- Econometric estimation with high-dimensional moment equalities
- Nonparametric methods for inference in the presence of instrumental variables
- Profile-kernel likelihood inference with diverging number of parameters
- Point estimation with exponentially tilted empirical likelihood
- Nonconcave penalized likelihood with a diverging number of parameters.
- High dimensional generalized empirical likelihood for moment restrictions with dependent data
- On the adaptive elastic net with a diverging number of parameters
- Introduction to empirical processes and semiparametric inference
- Estimation of Nonparametric Conditional Moment Models With Possibly Nonsmooth Generalized Residuals
- Penalized empirical likelihood and growing dimensional general estimating equations
- On the robustness of the adaptive lasso to model misspecification
- Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
- Penalized high-dimensional empirical likelihood
- Adjusted Exponentially Tilted Likelihood with Applications to Brain Morphology
- Diagnostic measures for empirical likelihood of general estimating equations
- Instrumental Variables Regression with Weak Instruments
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Information Theoretic Approaches to Inference in Moment Condition Models
- Penalized Composite Quasi-Likelihood for Ultrahigh Dimensional Variable Selection
- Estimating equations, empirical likelihood and constraints on parameters
- Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions
- Nonparametric Instrumental Regression
- Nonconcave Penalized Likelihood With NP-Dimensionality
- Bayesian exponentially tilted empirical likelihood
- Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
This page was built for publication: Exponentially tilted likelihood inference on growing dimensional unconditional moment models